• dudinax@programming.dev
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        5 months ago

        Remember when Clinton lost the election because the FBI didn’t find anything on her assistant’s laptop?

        • TropicalDingdong@lemmy.world
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          5 months ago

          I mean she could have spent a weekend in Michigan. That was an unforced error.

          She could have addressed her relationship with Goldman Sachs, and all the other banks that fucked over the entirety of the American people during the housing crisis that she earned millions upon millions giving “speeches” to.

          She could have made an olive branch to the progressive caucus.

          She could have not said “Sit down and shut up” to BLM activists.

          There are a lot of things she could have done.

              • dudinax@programming.dev
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                5 months ago

                Maybe, but it happened right before the election. I observed noticeable shift in attitude. That’s not good evidence, I know, but Clinton’s polls which had been steady, took a 3% dip at the time and stayed down through election day.

                People talked about the polls being off compared to the election, but the election matched the post-Comey polls pretty well. It’s only the polls that mixed pre-Comey data that were too high for Clinton.

                • TropicalDingdong@lemmy.world
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                  5 months ago

                  If you are interested in doing a more detailed analysis of this, I can supply you with some boiler plate code. 538 has pretty detailed polling data that’s free to download. I’m going to be getting into it later in June for my monthly polling update.

                  I was considering calculating Trumps polling error differential from 2016 and seeing how it changed to 2020. I did a map of his differential polling error for 2020 for my update two weeks ago.

                  I’m also considering of taking the differential polling result for just swing states, applying it to current polling, and mapping out a series of ‘pathways’ to 270 for each candidate, highlighting where the pressure points are.

                  I think a trying to model the impact of a single news story could be pretty interesting.